Job creation platform for emerging economies using AI-driven skilling and employer networks
Wadhwani Foundation operates a job-creation initiative across emerging economies, built on a modern AI stack (LangGraph, LlamaIndex, Azure OpenAI, LangChain, CrewAI) paired with traditional backend infrastructure (Node.js, Python, PostgreSQL, MongoDB). The tech shape reveals a foundation scaling generative AI systems for content generation and LLM evaluation—addressing explicit pain points around hallucination detection and reliability at scale. Hiring velocity is accelerating with senior and lead engineers dominating the mix, suggesting active buildout of production AI systems rather than policy-only work.
Notable leadership hires: Program Lead
Wadhwani Foundation, established in 2001, runs a nonprofit focused on job creation and wage growth in emerging economies through four core pillars: Entrepreneurship, Skilling, Innovation & Research, and Government Digital Transformation. The organization designs and operates skills training programs aligned to employer demand, manages industry advisory councils, and pilots engagement models to validate placement pathways. Recent work emphasizes production deployment of large language models and multimodal content generation to scale training delivery across millions of users. The foundation operates primarily in India with a 51–200 person team based in Los Altos, California.
The foundation uses LangGraph, LlamaIndex, LangChain, and CrewAI for agentic pipelines; Azure OpenAI and OpenAI Evals for LLM deployment; and DeepEval, Ragas, TruLens, and Promptfoo for generative AI evaluation and hallucination detection.
Wadhwani Foundation is actively hiring in India across engineering, operations, marketing, and sales functions.
Wadhwani Foundation's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.